Traditional power production has become challenging for utilities due to the depletion of fossil fuels, coal, and oil. This must be done in a less expensive and more efficient manner. To meet the consumer's power needs, a new source is needed. The alternative source should be sustainable and capable of fulfilling the needs of the customer. The incorporation of renewable energy into the grid is a helpful method of meeting demand. The integration of renewable energy has three main challenges: frequency fluctuation, power quality issues, and power system instability. The following issues were critical in nature. An expert system based on an analytic hierarchy method is used to detect and classify power quality issues. Previously, it could detect sag, swell, transients, harmonics, interruptions, and flickers. A method for categorizing events that is error-free has been proposed. The streamlined process provides for more accurate identification and classification of power quality issues. an examination of power quality issues and their mitigation via the use of unified power quality conditioners (UPQC) To reduce different power quality problems, an Adaptive Neuro Fuzzy Inference System (ANFIS) is employed. Using renewable energy sources effectively reduces environmental impact. The proposed technique corrects voltage imbalances and reduces overall harmonic distortion at the point of common connection (PCC). The installation of an ANFIS-controlled DVR is utilized to minimize voltage fluctuations induced by the integration of renewable energy sources and transmission line failures. With the aim of using renewable energy, a fake fault was introduced to power quality events. The ANFIS-controlled DVR plan is in place to mitigate the negative impacts of power quality events. ANFIS-controlled DVR is compared to a conventional surveillance method. Nonlinear loads generate voltage flickers and total harmonic distortion, therefore a distributed static compensator (D-STATCOM) is employed to avoid these. It is recommended that D-STATCOM use three control methods: instantaneous power theory, synchronous vector PI control, and harmonic elimination. The D-efficacy of STATCOMs is tested under severe load conditions. Various control methods will be used to evaluate and debate the proposed expert system and customized power devices.
Power Quality Improvement; Renewable Energy; Custom Power Device’s FACT’s; UPQC; PCC; DVR; STATCOM; Neuro Fuzzy (ANFIS); PI Controller
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